Patent claim processing for readability: structure analysis and term explanation

Authors:
Akihiro Shinmori;Manabu Okumura;Yuzo Marukawa;Makoto Iwayama
Affiliations:
Tokyo Institute of Technology;Tokyo Institute of Technology;Japan Science and Technology Corp.;Tokyo Institute of Technology
Venue:
PATENT '03 Proceedings of the ACL-2003 workshop on Patent corpus processing - Volume 20
Year:
2003

Citing 4
Cited 15

The Theory and Practice of Discourse Parsing and Summarization

The Theory and Practice of Discourse Parsing and Summarization
Knowledge Elicitation for Authoring Patent Claims

Computer
Towards constructive text, diagram, and layout generation for information presentation

Computational Linguistics
Overview of patent retrieval task at NTCIR-3

PATENT '03 Proceedings of the ACL-2003 workshop on Patent corpus processing - Volume 20

Associative document retrieval by query subtopic analysis and its application to invalidity patent search

Proceedings of the thirteenth ACM international conference on Information and knowledge management
Proposal of two-stage patent retrieval method considering the claim structure

ACM Transactions on Asian Language Information Processing (TALIP)
Introduction to the special issue on patent processing

Information Processing and Management: an International Journal
Text mining techniques for patent analysis

Information Processing and Management: an International Journal
Patent surrogate extraction and evaluation in the context of patent mapping

Journal of Information Science
Structure clustering for Chinese patent documents

Expert Systems with Applications: An International Journal
Semantic Patent Clustering for Biomedical Communities

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Automatic discovery of technology trends from patent text

Proceedings of the 2009 ACM symposium on Applied Computing
Improving the comprehension of legal documentation: the case of patent claims

Proceedings of the 12th International Conference on Artificial Intelligence and Law
Patent claim decomposition for improved information extraction

Proceedings of the 2nd international workshop on Patent information retrieval
Prior art retrieval using the claims section as a bag of words

CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Developing a comprehensive patent related information retrieval tool

Journal of Theoretical and Applied Electronic Commerce Research
A korean syntactic parser customized for korean-english patent MT system

FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Extract conceptual graphs from plain texts in patent claims

Engineering Applications of Artificial Intelligence
Combining pre-retrieval query quality predictors using genetic programming

Applied Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Patent corpus processing should be centered around patent claim processing because claims are the most important part in patent specifications. It is common that claims written in Japanese are described in one sentence with peculiar style and wording and are difficult to understand for ordinary people. The peculiarity is caused by structural complexity of the sentences and many difficult terms used in the description. We have already proposed a framework to represent the structure of patent claims and a method to automatically analyze it. We are currently investigating a method to clarify terms in patent claims and to find the explanatory portions from the detailed description part of the patent specifications. Through both approaches, we believe we can improve readability of patent claims.